IEEE Access special section editorial: Artificial intelligence enabled networking

Qadir, J., Yau, K.-L. A., Imran, M. A. , Ni, Q. and Vasilakos, A. V. (2016) IEEE Access special section editorial: Artificial intelligence enabled networking. IEEE Access, 3, pp. 3079-3082. (doi: 10.1109/ACCESS.2015.2507798)

Abstract

With today’s computer networks becoming increasingly dynamic, heterogeneous, and complex, there is great interest in deploying artificial intelligence (AI) based techniques for optimization and management of computer networks. AI techniques—that subsume multidisciplinary techniques from machine learning, optimization theory, game theory, control theory, and meta-heuristics—have long been applied to optimize computer networks in many diverse settings. Such an approach is gaining increased traction with the emergence of novel networking paradigms that promise to simplify network management (e.g., cloud computing, network functions virtualization, and software-defined networking) and provide intelligent services (e.g., future 5G mobile networks). Looking ahead, greater integration of AI into networking architectures can help develop a future vision of cognitive networks that will show network-wide intelligent behavior to solve problems of network heterogeneity, performance, and quality of service (QoS).

• Item Type: Articles (Editorial)
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Imran, Professor Muhammad
• Authors: Qadir, J., Yau, K.-L. A., Imran, M. A., Ni, Q., and Vasilakos, A. V.
• College/School: College of Science and Engineering > School of Engineering
• Journal Name: IEEE Access
• Publisher: IEEE
• ISSN: 2169-3536
• ISSN (Online): 2169-3536
• Published Online: 18 January 2016
• Copyright Holders: Copyright © 2016 IEEE
• First Published: First published in IEEE Access 3: 3079-3082
• Publisher Policy: Reproduced in accordance with the publisher copyright policy